class_docstr: Wrapper around tensorflow optimizer.
class_docstr_tok: ["Wrapper","around","tensorflow","optimizer","."]
docstr: Number of hyperparams of the optimizer being used.
  
  E.g., `adam` has `beta1` and `beta2`; if we use the `amsgrad` argument then it has also a third.
docstr_tok: ["Number","of","hyperparams","of","the","optimizer","being","used",".","E.g.",",","`","adam","`","has","`","beta1","`","and","`","beta2","`",";","if","we","use","the","`","amsgrad","`","argument","then","it","has","also","a","third","."]
code: def get_hyperparam_count(self):
      """Number of hyperparams of the optimizer being used.
  
      E.g., `adam` has `beta1` and `beta2`; if we use the `amsgrad` argument then it has also a third.
      """
      return self.number_hyperparams
  
file_path: AmpliGraph/ampligraph/latent_features/optimizers.py
imports: import abc
  import logging
  import six
  import tensorflow
label_desc: Use image node_id 5 for calling the OptimizerWrapper obj's underlying member method code with example usage: obj.get_hyperparam_count() and returns: self